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Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model

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Title: Medical Radiation Exposure Reduction in PET via Super-Resolution Deep Learning Model
Authors: Yoshimura, Takaaki Browse this author →KAKEN DB
Hasegawa, Atsushi Browse this author
Kogame, Shoki Browse this author
Magota, Keiichi Browse this author →KAKEN DB
Kimura, Rina Browse this author
Watanabe, Shiro Browse this author →KAKEN DB
Hirata, Kenji Browse this author →KAKEN DB
Sugimori, Hiroyuki Browse this author →KAKEN DB
Keywords: deep learning
radiation exposure
Issue Date: 31-Mar-2022
Publisher: MDPI
Journal Title: Diagnostics
Volume: 12
Issue: 4
Start Page: 872
Publisher DOI: 10.3390/diagnostics12040872
PMID: 35453920
Abstract: In positron emission tomography (PET) imaging, image quality correlates with the injected [18F]-fluorodeoxyglucose (FDG) dose and acquisition time. If image quality improves from short-acquisition PET images via the super-resolution (SR) deep learning technique, it is possible to reduce the injected FDG dose. Therefore, the aim of this study was to clarify whether the SR deep learning technique could improve the image quality of the 50%-acquisition-time image to the level of that of the 100%-acquisition-time image. One-hundred-and-eight adult patients were enrolled in this retrospective observational study. The supervised data were divided into nine subsets for nested cross-validation. The mean peak signal-to-noise ratio and structural similarity in the SR-PET image were 31.3 dB and 0.931, respectively. The mean opinion scores of the 50% PET image, SR-PET image, and 100% PET image were 3.41, 3.96, and 4.23 for the lung level, 3.31, 3.80, and 4.27 for the liver level, and 3.08, 3.67, and 3.94 for the bowel level, respectively. Thus, the SR-PET image was more similar to the 100% PET image and subjectively improved the image quality, as compared to the 50% PET image. The use of the SR deep-learning technique can reduce the injected FDG dose and thus lower radiation exposure.
Type: article
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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